Research on the Dynamic Characteristics Analysis and Power Control Method of Heat Pipe Reactors
A heat pipe reactor (HPR) is a kind of modular small reactor with broad application prospects, and its dynamic characteristics and nuclear power control are essential to the safe and stable operation of nuclear power plants. Taking the MegaPower HPR as an example, the dynamic characteristics of the...
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| Veröffentlicht in: | Applied sciences Jg. 13; H. 20; S. 11284 |
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| Abstract | A heat pipe reactor (HPR) is a kind of modular small reactor with broad application prospects, and its dynamic characteristics and nuclear power control are essential to the safe and stable operation of nuclear power plants. Taking the MegaPower HPR as an example, the dynamic characteristics of the HPR are analyzed, and its power control method is designed in this paper. Based on the lumped parameter idea, the equivalent processing of the structure of the HPR core is carried out, and the main parameters of the heat pipe heat exchanger are designed at first. A lightweight dynamic model of the HPR is established using a thermal resistance network, and the accuracy of the model is verified using the solution of the model under the steady-state full power condition. Then, the dynamic characteristics of the HPR without a controller are analyzed respectively with the disturbance reactivity and mass flow rate, indicating strong self-stability and self-regulation of the HPR. Finally, a reinforcement learning (RL) controller based on the twin delayed deep deterministic policy gradient (TD3) algorithm is designed for the HPR power control, and it is adjusted through appropriately setting states, network structures, reward functions, etc. To verify the performance of the controller, a step response simulation ranging from 100%FP to 90%FP, a compound conditions simulation, and a large load change simulation are carried out, respectively. The results show that the RL controller can find the optimal control strategy through training. Meanwhile, it significantly improves the dynamic and steady-state performance of nuclear power compared with uncontrolled case and PID controller case, and it has the ability of power control under all operating conditions. |
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| AbstractList | A heat pipe reactor (HPR) is a kind of modular small reactor with broad application prospects, and its dynamic characteristics and nuclear power control are essential to the safe and stable operation of nuclear power plants. Taking the MegaPower HPR as an example, the dynamic characteristics of the HPR are analyzed, and its power control method is designed in this paper. Based on the lumped parameter idea, the equivalent processing of the structure of the HPR core is carried out, and the main parameters of the heat pipe heat exchanger are designed at first. A lightweight dynamic model of the HPR is established using a thermal resistance network, and the accuracy of the model is verified using the solution of the model under the steady-state full power condition. Then, the dynamic characteristics of the HPR without a controller are analyzed respectively with the disturbance reactivity and mass flow rate, indicating strong self-stability and self-regulation of the HPR. Finally, a reinforcement learning (RL) controller based on the twin delayed deep deterministic policy gradient (TD3) algorithm is designed for the HPR power control, and it is adjusted through appropriately setting states, network structures, reward functions, etc. To verify the performance of the controller, a step response simulation ranging from 100%FP to 90%FP, a compound conditions simulation, and a large load change simulation are carried out, respectively. The results show that the RL controller can find the optimal control strategy through training. Meanwhile, it significantly improves the dynamic and steady-state performance of nuclear power compared with uncontrolled case and PID controller case, and it has the ability of power control under all operating conditions. |
| Audience | Academic |
| Author | Mao, Wei Yu, Ren Sheng, Dongjie Zhao, Yudong Yin, Shaoxuan |
| Author_xml | – sequence: 1 givenname: Shaoxuan surname: Yin fullname: Yin, Shaoxuan – sequence: 2 givenname: Ren surname: Yu fullname: Yu, Ren – sequence: 3 givenname: Dongjie orcidid: 0000-0002-0907-7149 surname: Sheng fullname: Sheng, Dongjie – sequence: 4 givenname: Wei surname: Mao fullname: Mao, Wei – sequence: 5 givenname: Yudong surname: Zhao fullname: Zhao, Yudong |
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| References | Tournier (ref_8) 2004; 45 Ma (ref_32) 2020; 149 Poston (ref_13) 2014; 188 Zuo (ref_17) 1998; 41 Li (ref_27) 2021; 2113 Mueller (ref_16) 2021; 160 Wu (ref_35) 2022; 10 ref_11 Mousakazemi (ref_23) 2019; 136 ref_10 Arafat (ref_12) 2019; 37 Li (ref_22) 2023; 187 ref_31 ref_30 Guo (ref_18) 2022; 10 Zeng (ref_25) 2021; 132 Chen (ref_26) 2022; 69 Koenig (ref_5) 1977; 1 Jibin (ref_19) 2021; 42 Tournier (ref_9) 2004; 699 Poston (ref_14) 2020; 206 Chen (ref_28) 2021; 55 Anderson (ref_4) 1968; 5 ref_1 Ejigu (ref_24) 2022; 197 Guo (ref_21) 2021; 65 Sutton (ref_33) 1992; 12 ref_3 ref_2 ref_29 Xiao (ref_20) 2021; 270 Li (ref_34) 2020; 8 Poston (ref_15) 2020; 206 ref_7 ref_6 |
| References_xml | – volume: 55 start-page: 213 year: 2021 ident: ref_28 article-title: Reactivity feedback characteristic and reactor startup analysis of megawatt heat pipe cooled reactor publication-title: At. Energy Sci. – volume: 41 start-page: 1473 year: 1998 ident: ref_17 article-title: A network thermodynamic analysis of the heat pipe publication-title: Int. J. Heat Mass Transf. doi: 10.1016/S0017-9310(97)00220-2 – ident: ref_6 doi: 10.1063/1.1290947 – ident: ref_7 doi: 10.1063/1.1358010 – volume: 12 start-page: 19 year: 1992 ident: ref_33 article-title: Reinforcement learning is direct adaptive optimal control publication-title: IEEE Control Syst. doi: 10.1109/37.126844 – volume: 8 start-page: 156839 year: 2020 ident: ref_34 article-title: Deep Reinforcement Learning Based Multi-Objective Integrated Automatic Generation Control for Multiple Continuous Power Disturbances publication-title: IEEE Access doi: 10.1109/ACCESS.2020.3019535 – ident: ref_2 doi: 10.2172/1226133 – ident: ref_11 – volume: 699 start-page: 658 year: 2004 ident: ref_9 article-title: Conceptual Design of HP-STMCs Space Reactor Power System for 110 kWe publication-title: AIP Conf. Proc. doi: 10.1063/1.1649628 – volume: 65 start-page: 102 year: 2021 ident: ref_21 article-title: A transient multiphysics coupling method based on OpenFOAM for heat pipe cooled reactors publication-title: Sci. China Technol. Sci. – volume: 69 start-page: 1820 year: 2022 ident: ref_26 article-title: Deep Reinforcement Learning Control of a Boiling Water Reactor publication-title: IEEE Trans. Nucl. Sci. doi: 10.1109/TNS.2022.3187662 – ident: ref_1 – volume: 206 start-page: 89 year: 2020 ident: ref_15 article-title: Results of the KRUSTY Nuclear System Test publication-title: Nucl. Technol. doi: 10.1080/00295450.2020.1730673 – ident: ref_29 doi: 10.3390/en15072586 – ident: ref_30 doi: 10.2172/1057248 – volume: 45 start-page: 25 year: 2004 ident: ref_8 article-title: “SAIRS”—Scalable Amtec Integrated Reactor space power System publication-title: Prog. Nucl. Energy doi: 10.1016/j.pnucene.2004.08.002 – volume: 10 start-page: 128077 year: 2022 ident: ref_35 article-title: A-TD3: An Adaptive Asynchronous Twin Delayed Deep Deterministic for Continuous Action Spaces publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3226446 – volume: 206 start-page: 13 year: 2020 ident: ref_14 article-title: KRUSTY Reactor Design publication-title: Nucl. Technol. doi: 10.1080/00295450.2020.1725382 – volume: 37 start-page: 34 year: 2019 ident: ref_12 article-title: eVinci™ Micro Reactor publication-title: Nuclear Plant J. – volume: 5 start-page: 424 year: 1968 ident: ref_4 article-title: A Nuclear Thermionic Space Power Concept Using Rod Control and Heat Pipes publication-title: Nucl. Appl. – ident: ref_10 – volume: 160 start-page: 108393 year: 2021 ident: ref_16 article-title: A review of heat-pipe modeling and simulation approaches in nuclear systems design and analysis publication-title: Ann. Nucl. Energy doi: 10.1016/j.anucene.2021.108393 – volume: 187 start-page: 109774 year: 2023 ident: ref_22 article-title: Multi-physics coupled simulation on steady-state and transients of heat pipe cooled reactor system publication-title: Ann. Nucl. Energy doi: 10.1016/j.anucene.2023.109774 – volume: 188 start-page: 229 year: 2014 ident: ref_13 article-title: Experimental demonstration of a heat pipe-Stirling engine nuclear reactor publication-title: Nucl. Technol. doi: 10.13182/NT13-71 – volume: 132 start-page: 103564 year: 2021 ident: ref_25 article-title: Core power control of a space nuclear reactor based on a nonlinear model and fuzzy-PID controller publication-title: Prog. Nucl. Energy doi: 10.1016/j.pnucene.2020.103564 – volume: 10 start-page: 819033 year: 2022 ident: ref_18 article-title: The Super Thermal Conductivity Model for High-Temperature Heat Pipe Applied to Heat Pipe Cooled Reactor publication-title: Front. Energy Res. doi: 10.3389/fenrg.2022.819033 – volume: 1 start-page: 237 year: 1977 ident: ref_5 article-title: Heat-Pipe Reactors for Space Power Applications publication-title: J. Energy doi: 10.2514/3.62334 – volume: 136 start-page: 107019 year: 2019 ident: ref_23 article-title: Computational effort comparison of genetic algorithm and particle swarm optimization algorithms for the proportional–integral–derivative controller tuning of a pressurized water nuclear reactor publication-title: Ann. Nucl. Energy doi: 10.1016/j.anucene.2019.107019 – volume: 42 start-page: 787 year: 2021 ident: ref_19 article-title: Numerical Modeling of a Wicked Heat Pipe Using Lumped Parameter Network Incorporating the Marangoni Effect publication-title: HEAT Transfer. Eng. doi: 10.1080/01457632.2020.1735799 – volume: 270 start-page: 108152 year: 2021 ident: ref_20 article-title: High-fidelity multi-physics coupling study on advanced heat pipe reactor publication-title: Comput. Phys. Commun. doi: 10.1016/j.cpc.2021.108152 – volume: 2113 start-page: 012030 year: 2021 ident: ref_27 article-title: The application of Deep Reinforcement Learning in Coordinated Control of Nuclear Reactors publication-title: J. Phys. Conf. Ser. doi: 10.1088/1742-6596/2113/1/012030 – ident: ref_3 doi: 10.2514/6.1968-122 – volume: 197 start-page: 1239 year: 2022 ident: ref_24 article-title: Pressurized Water Reactor Core Power Control Using BAS-RBF-PID Approach during Transient Operation publication-title: Nucl. Sci. Eng. doi: 10.1080/00295639.2022.2138688 – volume: 149 start-page: 107755 year: 2020 ident: ref_32 article-title: Heat pipe failure accident analysis in megawatt heat pipe cooled reactor publication-title: Ann. Nucl. Energy doi: 10.1016/j.anucene.2020.107755 – ident: ref_31 doi: 10.2172/1410224 |
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| SubjectTerms | Algorithms Analysis Control algorithms dynamic characteristic Equipment and supplies Heat conductivity heat pipe reactor Heat transfer Heating Learning strategies Methods Nuclear energy nuclear power control Nuclear power plants Nuclear reactors Physics Simulation Temperature thermal resistance network twin delayed deep deterministic policy gradient algorithm |
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